Development and optimization of ME-TVC desalination system
Introduction
Rapid developments have occurred recently in the Multi-Effect Thermal Vapor Compression (ME-TVC) desalination system, which makes this technology competitive enough to the multi stage flash (MSF) desalination system. It becomes available in large units up to 8 MIGD; operates at low top brine temperatures around 60 °C, has high gain ratio (GR) up to 16 and lower expenditures (Table 1). The strong competition between manufacturers led to improved designs based on technical optimization along with their experiences in the previous projects [2].
The French company SIDEM commissioned several plants of Multi Effect (ME) desalination system since 1890 [3]. Lately, it developed the thermal vapor compression system in several projects around the world, particularly in the United Arab Emirates (UAE). The first two ME-TVC units were introduced in 1973 at Das Island in UAE with a 125 m3/d unit capacity; each unit consisted of two effects. The unit capacity increased to 1500 m3/d in 1979 where four units were installed in Ruwais Refinery [4]. The first ME-TVC desalination unit of 1 MIGD capacity was commissioned in the remote western areas of UAE in December 1991 at Jabal Dhana and Sila, followed by 2 units of 1 MIGD capacity at Mirfa. Each of these units had four effects with gain ratio close to 8. A boiler was used to supply the motive steam at 25 bars [5]. The next unit capacity was 2 MIGD which started up in 1995 in Sicily (Italy). It consisted of four identical units; each had 12 effects, with gain ratio of 16. The steam was supplied from two boilers at 45 bars to the plant [6]. Due to the adequate performances of the plants, more units of 1, 1.5 and 2 MIGD were ordered from SIDEM and commissioned in UAE between 1996 and 1999 [4]. The next range in size was achieved with two units, each of 3.5 MIGD in 2000 in Umm Al-Nar and 14 units of 3.77 MIGD in 2002 in Al-Taweelah A1. Each unit had nine effects with gain ratio close to 8. The steam was extracted from a steam turbine at 2.8 bars to supply two steam ejectors in each unit [7]. The next unit that was commissioned was in Layyah with a nominal capacity of 5 MIGD using medium pressure motive steam [4]. The largest unit ever built to date for ME-TVC was 8 MIGD, which was built for a contract with Sharjah Electricity and Water Authority in 2005 [8]. Now, this technology is starting to gain more market shares in Saudi Arabia and SIDEM has been selected to build one of the largest ME-TVC desalination plants with a total capacity of 176 MIGD, (6.5 MIGD × 27 units) in Al-Jubail Industrial City [9].
Although several studies have been published concerning ME-TVC desalination system in literatures, to the best of our knowledge, optimization of ME-TVC desalination system has not been tackled through mathematical modeling, and thus a mathematical model will be developed in this paper for designing a ME-TVC unit using a simple optimization procedure. The MATLAB program will be used to determine the optimum operating and design conditions of a different number of effects to maximize the gain ratio using two methods: (1) Smart Exhaustive Search Method and (2) Sequential Quadratic Programming. The results of this optimization will be compared with some of the existing ME-TVC plants through some case studies. The main improvements in ME-TVC will also be outlined and discussed.
Section snippets
Process description
A simplified schematic diagram of a ME-TVC desalination system with n effects is presented in Fig. 1. It consists of (1) a steam jet ejector which acts as a thermal compressor, (2) horizontal falling film evaporators (effects), (3) distillate, feed, condensate and brine disposal pumps to circulate the streams, (4) an end condenser, (5) feed heaters and (6) flashing boxes. The motive steam Ds is directed at relatively high pressure Ps into the steam ejector. Part of the vapor formed in the last
Mathematical model
A mathematical model of the ME-TVC desalination system (Fig. 1) is presented in this section. The model is developed by applying mass and energy conservation laws to the evaporators, steam ejector, feed heaters and end condenser. The following assumption were used to simplify the analysis: steady state operation, negligible heat losses to the surrounding, equal temperature difference across feed heaters, salt free distillate from all effects and variations of specific heat as well as boiling
Development of ME-TVC
Several approaches have taken place towards the improvement of multi effect desalination system in the last three decades. One of main points of development is using the falling film horizontal tube evaporators in order to increase the heat transfer coefficient which reduces the required heat transfer area [16]. The other point for enhancement is keeping the top brine temperature in the range of 60 °C and this decreases the potentiality of scale formation [4]. The most recent achievement in
The optimization approach
The previous simplified mathematical model of ME-TVC desalination system in Section 3 along with the schematic diagram in Fig. 1 is used for optimization purposes in this section. The schematic diagram consists of n number of effects varying from 4 to 12. In any mathematical optimization, the objective function, design variables and constrains should be specified in order to formulate the problem properly and to select the appropriate optimization method [21]. The general statement of the
Results and discussion
The optimal computed results of the mathematical optimization problem are displayed below in Table 6, where all the feasible solutions of the Smart Exhausted Search Method are listed in Appendix IIA, and the optimal results of the SQP method are listed in Appendix IIB.
In the light of the results shown in Table 6 the following facts can be reported:
- 1)
The number of effects is limited in ME-TVC system by the temperature difference between the discharged steam from the ejector and the cooling
Conclusions
This paper outlines the performance developments in multi-effect thermal vapor compression systems during the last decade. A MATLAB algorithm was developed and used to solve a mathematical model optimization problem, where different numbers of effects were tested to maximize the gain ratio using: (1) Smart Exhaustive Search Method and (2) Sequential Quadratic Programming. The maximum gain ratio varied between 8.5 and 18.5 for 4 and 12 effects with an optimal top brine temperature ranging
Glossary
- A
- Heat transfer area, m2
- Ac
- Condenser Heat transfer area, m2
- Ad
- Specific available energy consumption, kJ/kg
- Af
- Feed heater heat transfer area, m2
- Atd
- Specific heat transfer area, m2/kg
- B
- Brine flow rate, kg/s
- BPE
- Boiling point elevation, °C
- C
- Specific heat capacity of water, kJ/kg. K
- CG-ST
- Combined gas-steam turbine system
- CR
- Compression ratio
- D
- Distillate, kg/s
- Df
- Non entrained vapor, kg/s
- Dr
- Entrained vapor to steam ejector, kg/s
- Ds
- Motive steam flow rate, kg/s
- Ds/Dr
- Entrainment ratio
- ER
- Expansion ratio
- F
- Feed flow rate,
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